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Python Engineer building data pipelines & automation systems
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Python Engineer building data pipelines & automation systems
9 followers · 13 following

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@Randolph-Lab

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audreymhoughton/README.md

👋 Hi, I'm Audrey Houghton

🚀 Data • Infrastructure • ML Systems Engineer
⚙️ HPC | Analytics Engineering | Automation | Research Computing

Resume LinkedIn Google Scholar

I build scalable data and compute systems that transform complex datasets into reliable, reproducible, and production-ready workflows.

My work spans GPU cloud infrastructure, high-performance computing, clinical prediction workflows, geospatial EHR analytics, and large-scale analytics systems across research and production environments.

🔭 Currently Working On

  • 🧠 GIS-linked Electronic Health Record (EHR) analytics pipelines
  • 🤖 Automation systems integrating APIs, logging, and alert workflows
  • ⚡ Reproducible SLURM & HPC data processing pipelines
  • 📊 Applied machine learning workflows using LightGBM, calibration, cross-validation, and SHAP
  • 🧪 Clinical prediction and causal inference methods for research validation
  • 🏗️ Production-style research infrastructure and validation systems

⭐ Featured Projects

🤖 Lead Automation & Sales Intelligence Pipeline

Enterprise-style automation platform integrating compliant web scraping, territory mapping, structured logging, and workflow alerting.

Tech: Python • APIs • ETL • Automation • Data Validation

⚡ SLURM Wrappers

Reusable Python/Bash wrappers enabling scalable execution of large data-processing workloads across HPC environments.

Tech: Python • Bash • SLURM • HPC
🔗 https://github.com/DCAN-Labs/SLURM_wrappers

📦 CABINET — Container Linking Framework

FAIR-compliant container-linking system enabling reproducible scientific pipelines across heterogeneous compute environments.

Tech: Python • Docker • Singularity
🔗 https://github.com/DCAN-Labs/CABINET

🧠 BIBSNet — Infant MRI Segmentation

Containerized deep learning application improving performance and accuracy for large-scale neuroimaging pipelines.

Tech: Python • Deep Learning • Containers • HPC
🔗 https://github.com/DCAN-Labs/BIBSnet

📈 Google Sheets Automation Utilities

Google Apps Script tools automating workflow tracking, dynamic link generation, and real-time updates.

Tech: JavaScript • Google Apps Script • Node.js

🧰 Technical Stack

💻 Languages

Python • SQL • Bash • JavaScript • R • MATLAB

📊 Data & Machine Learning

Pandas • NumPy • Statistical Modeling
Predictive Modeling • LightGBM • Calibration
Cross-Validation • SHAP • Causal Inference
Benchmarking • Data Validation

☁️ Infrastructure & HPC

Kubernetes • SLURM • Docker • Singularity
AWS S3 • Ceph • Distributed Compute Systems

📡 Observability & Operations

Grafana • Prometheus • Linux/Unix Systems

🔄 Automation & Engineering

ETL Pipelines • API Integrations
Workflow Automation • CI/CD Concepts
GitHub Actions

📌 Selected Impact

✅ Provisioned and maintained thousands of NVIDIA GPU nodes in production Kubernetes clusters
✅ Built pipelines processing petabyte-scale datasets
✅ Achieved 600× performance improvements in imaging workflows
✅ Reduced runtimes 10–12× through HPC optimization
✅ Designed automation systems reducing manual operational overhead
✅ Led documentation & reproducibility initiatives across multi-team environments

🧭 Areas of Interest

  • Data Engineering
  • Machine Learning Infrastructure
  • Research Engineering
  • Analytics Engineering
  • HPC & Distributed Systems
  • Python Backend & Automation

📫 Connect With Me

Pinned Loading

  1. DCAN-Labs/CABINET DCAN-Labs/CABINET Public

    CABINET is a utility that standardizes subsequent container execution. Emphasizing reproducibility, users can share JSONs to exactly replicate how containerized processes follow each other.

    Python 1 1

  2. DCAN-Labs/cdni-brain DCAN-Labs/cdni-brain Public

    readthedocs for CDNI collaborators and members

    3 3

  3. DCAN-Labs/SLURM_wrappers DCAN-Labs/SLURM_wrappers Public

    Bash and Python wrappers for SLURM that streamline HPC job submission, AWS S3 data transfers, and disk-based workflows; adaptable to any SLURM-based pipeline.

    Shell 1 1

  4. DCAN-Labs/BIBSnet DCAN-Labs/BIBSnet Public

    This BIDS App provides the utility of creating a nnU-Net anatomical MRI segmentation and mask with a infant brain trained model. It can easily be included in other processing pipelines and for circ…

    Python 11 10

  5. job-tracker-apps job-tracker-apps Public

    Google Apps Script automations for Google Sheets that streamline application tracking: automatically summarize statuses with counts, percentages, and charts, enforce a 6-month rule on outdated entr…

    JavaScript

  6. lead-lab lead-lab Public

    Research-only lead generation toolkit — manage, enrich, and export qualified sponsorship leads securely to Google Sheets or local CSV, with no outreach or client data exposed.

    Python